Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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πŸ“Œ Inheritance: A Software Engineering Concept Data Scientists Must Know To Succeed

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-05-22 | ⏱️ Read time: 12 min read

Coding concepts that distinguish an amateur from a professional data scientist
πŸ“Œ What Statistics Can Tell Us About NBA Coaches

πŸ—‚ Category:

πŸ•’ Date: 2025-05-22 | ⏱️ Read time: 10 min read

Using Python to determine where NBA coaches come from and what makes them successful
πŸ“Œ About Calculating Date Ranges in DAX

πŸ—‚ Category: DATA ANALYSIS

πŸ•’ Date: 2025-05-22 | ⏱️ Read time: 7 min read

When performing date calculations, creating date ranges can be helpful. But how can we do…
πŸ“Œ Top Machine Learning Jobs and How to Prepare For Them

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-05-21 | ⏱️ Read time: 8 min read

Explaining the different machine learning roles
πŸ“Œ Use PyTorch to Easily Access Your GPU

πŸ—‚ Category: PROGRAMMING

πŸ•’ Date: 2025-05-21 | ⏱️ Read time: 12 min read

Or β€¦ how an ML library can accelerate non-ML computations
πŸ“Œ Building AI Applications in Ruby

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-21 | ⏱️ Read time: 15 min read

Why Ruby may be the best language to write your next AI web application
πŸ“Œ What the Most Detailed Peer-Reviewed Study on AI in the Classroom Taught Us

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-05-20 | ⏱️ Read time: 8 min read

A meta analysis that turns out positive yet identifies the need for further research
πŸ“Œ I Teach Data Viz with a Bag of Rocks

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-20 | ⏱️ Read time: 5 min read

Here’s Why Domain-Specific Integration Matters in Your Data Science Workflows
πŸ“Œ Optimizing Multi-Objective Problems with Desirability Functions

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-20 | ⏱️ Read time: 8 min read

Applied to a very real problem: baking bread!
πŸ“Œ How to Set the Number of Trees in Random Forest

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-05-16 | ⏱️ Read time: 13 min read

A practical introduction to the optRF package
πŸ“Œ How to Build an AI Journal with LlamaIndex

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-16 | ⏱️ Read time: 10 min read

A step-by-step guide for building an AI assistant powered by LlamaIndex
πŸ“Œ The Automation Trap: Why Low-Code AI Models Fail When You Scale

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-16 | ⏱️ Read time: 7 min read

Low-code AI platforms promise speed, a model without a single line of code. But when…
πŸ“Œ Agentic AI 102: Guardrails and Agent Evaluation

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-16 | ⏱️ Read time: 12 min read

An introduction to tools that make your model safer and more predictable and performant.
πŸ“Œ Google’s AlphaEvolve Is Evolving New Algorithms β€” And It Could Be a Game Changer

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-05-15 | ⏱️ Read time: 6 min read

A blend of LLMs’ creative generation capabilities with genetic algorithms
πŸ“Œ Understanding Random Forest using Python (scikit-learn)

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-05-15 | ⏱️ Read time: 9 min read

A Random Forest is a powerful machine learning algorithm that can be used for classification…
πŸ“Œ How to Learn the Math Needed for Machine Learning

πŸ—‚ Category: MATH

πŸ•’ Date: 2025-05-15 | ⏱️ Read time: 7 min read

A breakdown of the three fundamental math fields required for machine learning: statistics, linear algebra,…
πŸ“Œ Explore the New World of Agent Protocols

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2025-05-15 | ⏱️ Read time: 3 min read

This week, we focus on helping you gain a deeper understanding of MCP and other…
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πŸ“Œ Boost 2-Bit LLM Accuracy with EoRA

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-05-15 | ⏱️ Read time: 9 min read

A training-free solution for extreme LLM compression.
πŸ“Œ The Geospatial Capabilities of Microsoft Fabric and ESRI GeoAnalytics, Demonstrated

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2025-05-15 | ⏱️ Read time: 8 min read

A step closer to spatial AI with geospatial processing with Fabric
πŸ“Œ Strength in Numbers: Ensembling Models with Bagging and Boosting

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-15 | ⏱️ Read time: 16 min read

Mastering the fundamentals of bagging and boosting with simple examples
πŸ“Œ Efficient Graph Storage for Entity Resolution Using Clique-Based Compression

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-05-14 | ⏱️ Read time: 7 min read

Entity resolution systems face challenges with dense, interconnected graphs, and clique-based graph compression offers an…